Senior AI Engineer Lisboa

Senior AI Engineer
Lisboa
Lisboa, Lisboa, Portugal

We are looking for a Senior AI Engineer:

• Tech Level: Senior
• Language Proficiency: Advanced
• FTE: 1
• Employment type: Full time
• Candidate Location: Kazakhstan, Georgis, Poland, EU
• Working Time Zone: Working with a team based in APAC (+8
  - zone), availability from +4
  - zone preferred
• Start: ASAP
• Planned Work Duration: 12+ months
  
  

Customer Description:

Our client’s mission is to simplify global travel by aggregating transportation options in one unified platform.

They are a major global travel aggregator with extensive supplier coverage.

The company comprises a large, international team committed to enhancing the travel experience using advanced technologies.

Project Description:

The project focuses on transitioning from manual,
- based systems to AI-driven infrastructures to boost efficiency and innovation.

A recently established APAC office is leading this transformation, developing scalable, intelligent solutions for global users.

The team is seeking a founding AI engineer who will develop advanced AI workflows and integrate them across key business areas.

Project Phase:

active development

Soft Skills:

• Self-motivated and able to drive initiatives independently
• Previous experience with
  - time,
  - performance AI/LLM deployments
  
  

Hard Skills / Must Have:

• 6+ years developing complex models and algorithms
• Experience in deploying
  - grade AI solutions
• Expertise with large language models (Open
  AI, Claude, Gemini, LLa
  MA
• Familiarity with Lang
  Chain, Lang
  Graph, v
  LLM, LMDeploy
• Strong skills in Java/Python, and SQL
• Experience with data preprocessing, feature engineering, model evaluation
• Knowledge of MLOps and LLMOps best practices
• Ability to build RAG-based systems
• Proficiency in vector databases (FAISS, Weaviate, Pinecone, Milvus)
• Understanding of prompt engineering
• Hands-on experience with AWS/Google Cloud/Azure
  
  

Responsibilities and Tasks:

• Design and develop AI solutions using LLMs to drive business outcomes
• Lead
  - cycle development of AI-powered features and tools
• Build scalable AI systems supporting global business goals
• Promote AI integration and adoption across the organization
• Collaborate with
  - functional teams on AI workflows
• Communicate results and systems to technical and
  - technical stakeholders
  
  

Technology Stack: Java/Python, SQL, Lang
Chain, Lang
Graph, v
LLM, LMDeploy, FAISS, Weaviate, Pinecone, AWS/Google Cloud/Azure

Interview stages:

• instinctools English check (15 minutes)
• instinctools internal technical interview (1-1, 5 hour)
• client interview (1 hour)
• client interview – live coding (1 hour)
• client interview – cultural fit (45 minutes)

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